Fuzzy logic analysis of physiological data for hypovolemia class level detection

Hypovolemia is a dangerous and acute disease for mankind which results form a decreased level of blood volume or a loss of blood. In extreme case, it can cause an irreversible cellular damage which can cause death. In this paper, a fuzzy control system is proposed to detect this hypovolemia class level. The four classes of hypovolemia can be detected by this proposed system for adult persons. This system analyzes five physiological data which come from the devices that are used for monitoring the patients and regarding all these data it´ll give the hypovolemia class level of the patients. It´ll empower the doctors to take quick decisions in case of surgeries and seizures. This fuzzy system can be embedded using FPGAs or CPLDs so that can also be used to give treatment to remote place patients.